iPhone18,2
Geekbench AI Score
5171
Single Precision Score
8401
Half Precision Score
6624
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 06 2025 05:19 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2348
436.6 IPS |
|
|
Image Classification (HP)
|
100% |
3727
693.1 IPS |
|
|
Image Classification (Q)
|
96% |
2500
466.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3010
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3420
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10912
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19651
22.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16517
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (HP)
|
97% |
4192
333.7 IPS |
|
|
Object Detection (Q)
|
94% |
2883
229.8 IPS |
|
|
Face Detection (SP)
|
100% |
4623
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
8471
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
4435
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8455
65.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14384
111.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10075
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24975
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38859
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31824
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5619
207.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6973
257.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5017
185.3 IPS |
|
|
Text Classification (SP)
|
100% |
3245
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
6079
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5972
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5244
90.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9450
163.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9382
162.1 IPS |
